from application & practice & toward theory, math, engineering sciencethe US • By 1980’s hands-on training had dropped significantly • National Science Foundation-funded university Coalitions in the 1990’s tried to bring some of the hands-on approach back to the curriculum For much of its history, engineering has worked to weed out all but the perceived brightest and best, with the belief that theBrief History of majority of students did not have what it takes to make an engineer.Engineering We have broadened our view of whichEducation in students have
Health,” World Health Organization, Nov. 24, 2021. https://www.who.int/news-room/fact-sheets/detail/disability-and-health (accessed Jan. 24, 2022).[3] “Disability Impacts All of Us,” Centers for Disease Control and Prevention, Sep. 16, 2020. https://www.cdc.gov/ncbddd/disabilityandhealth/infographic-disability-impacts-all.html (accessed Jan. 2022).[4] C. A. Okoro, N. D. Hollis, A. C. Cyrus, and S. Griffin-Blake, “Prevalence of Disabilities and Health Care Access by Disability Status and Type Among Adults - United States, 2016,” MMWR Morb. Mortal. Wkly. Rep., vol. 67, no. 32, pp. 882–887, Aug. 2018, doi: 10.15585/mmwr.mm6732a3.[5] E. V. Peña, “Marginalization of Published Scholarship on Students With Disabilities in Higher
education.Avneet Hira (Assistant Professor) Avneet Hira is an Assistant Professor in the Human-Centered Engineering program at Boston College with a courtesy appointment in the Department of Teaching, Curriculum, and Society. Her scholarship is motivated by the fundamental question of how engineering and technology can support people in living well in an increasingly engineered world. Her research, which is in engineering education, focuses on affordances of technology, humanistic design, and engineering epistemology. Her work is inspired by Making and tinkering practices, especially those from different local knowledge systems.Brian Keith Smith Brian K Smith is the Honorable David S. Nelson Professional Chair and Associate
Paper ID #37759Design and Fabrication of an Accelerated CorrosionChamber for Naval ApplicationsNathan M. Kathir (Associate Professor and Director of Senior Projects) Nathan M. Kathir, Ph.D., P.E.(CO), F.ASCE Director of Senior Design (Capstone), Dept of Mechanical Eng., George Mason Univ. © American Society for Engineering Education, 2022 Powered by www.slayte.comDesign and Fabrication of an Accelerated Corrosion Chamber for Naval applicationsAbstractAn improvement in capability to better manage and reduce degradation of materials in theDepartment of Navy (DON)’s
Machinery]. https://www.acm.org/code-of-ethicsADAPT Centre for Digital Content Technology. (2017). The Ethics Canvas. https://www.ethicscanvas.org/AI for Good Foundation. (2019). Projects—AI for Good Foundation. AI for Good Foundation. https://ai4good.org/active-projects/AI for Good Foundation, & Syngenta. (2017). AI for Agriculture: Help Feed the World with AI. https://ai4good.org/ai-for-agriculture/Athey, S. (2017). Beyond prediction: Using big data for policy problems. Science, 355(6324), 483–485. https://doi.org/10.1126/science.aal4321Benjamin, M., Gagnon, P., Rostamzadeh, N., Pal, C., Bengio, Y., & Shee, A. (2019). Towards Standardization of Data Licenses: The Montreal Data License. ArXiv:1903.12262
, in normal classroom quizzes, students answeringa question correctly is not necessarily a reason to remove it. It is often a challenge to develop aresearch design that functions exactly as desired in a classroom implementation. 7 References[1] K. B. Lyle, C. R. Bego, R. F. Hopkins, P. A. S. Ralston, and J. L. Hieb, “How the amount and spacing of retrieval practice affect the short- and long-term retention of mathematics knowledge,” Educ. Psychol. Rev., vol. 32, no. 1, pp. 277–295, 2019, doi: 10.1007/s10648- 019-09489-x.[2] R. F. Hopkins, K. B. Lyle, J. L. Hieb, and P. A. S
faculty start-up research fund from the Gupta College ofScience at Coastal Carolina University. The 3D printer (Ultimaker S5) of this study was fundedthrough Horry County Higher Education Commission (HCHEC) in Horry County, South Carolina.In addition, the authors acknowledge the support of the SmartState™ Center for MultifunctionalMaterials and Structures (MFMS) at the University of South Carolina.References[1] Rocha, I. L. (2018). Manufacturing as driver of economic growth. PSL Quarterly Review, 71(285), 103-138.[2] Haraguchi, N., Cheng, C. F. C., & Smeets, E. (2017). The importance of manufacturing in economic development: has this changed?. World Development, 93, 293-315.[3] Schake, S., & Craft, J. (2019). Job applicants as the
summer programmentors, compared to their colleagues who never mentored in any of the ERC summer programs.The whole and final version of the instrument will be presented at the conference.References[1] L. A. Ellis and A. K. Peterson, "A Way Forward: Assessing the Demonstrated Leadership of Graduate Civil Engineering and Construction Management Students," Leadership and Management in Engineering, vol. 11, no. 2, pp. 88-96, 2011.[2] B. Ahn, M. F. Cox, J. London, O. Cekic and J. Zhu, "Creating an Instrument to Measure Leadership, Change, and Synthesis in Engineering Undergraduates," Journal of Engineering Education, vol. 103, no. 1, pp. 115-136, 2014.[3] S. Kumar and J. K. Hsiao, "Engineers learn "soft skills the hard way": Planting a
semester separationbetween two courses will give students ample time to identify their project topic and carry outnecessary background research before the second capstone course, thus they will spend timesolely on the project during their last semester. Changes and tweaks will be made to each coursebased on the feedback from students and faculty to improve student learning outcomes outlinedby ABET. More importantly, the sequence will be designed and improved to equip students withtechnical skills and professional skills, which will prepare students to meet expectations from theindustry and ease students’ transition into the professional world.References[1] C. Gewirtz, D. A. Kotys-Schwartz, D. Knight, M. C. Paretti, S. Arunkumar, J. D. Ford, S.Howe
the Construction Science and Management and Civil Engineering Technology Programs, and her research focus is in student engagement and retention in engineering and engineering technology education. Contact: talley@txstate.eduJosh Hurt (Research Engineer 1)Julie S Linsey (Associate Professor) Georgia Tech © American Society for Engineering Education, 2022 Powered by www.slayte.com Changing Homework Achievement with Mechanix Pedagogy: Increasing the Efficacy of a Measurement Tool for Construction MajorsAbstractIn online or large in-person course sections, instructors often adopt an online homework tool toalleviate the burden of grading
. Based on institutional data, FGS continue to apply to, and gain admission, to CEASbut are not matriculating at the same rate they did a decade ago. IHE who can strategicallyconnect and support all aspects of the STEM FGS experience could develop a sustainable studentapplicant pool at the same time CGS high school graduate numbers (the pool that historicallyenrolls in CEAS) are decreasing over the next decade. In combination with changing institutionalbarriers to persistence and graduation outcomes, IHE can capitalize on the assets, funds ofknowledge, and the attitude of “no choice but to succeed” that FGS bring to table. ReferencesAllaire, F. S
differences of the APLto Python. Following the “Programming lessons”, there is a series of activities to help thestudents create circuit(s) and program(s) that interact with each other.Although the course structure of ENGR 111 is the antithesis of a remote pedagogical setting,course administrators decided to redesign the ENGR 111 experience as a remote delivery due tothe reality of the Covid-19 pandemic. The definition of “remote delivery” institutionally is acourse that meets online, and synchronously. The use of the makerspace was not feasible due tothe close-proximity nature of numerous hands-on activities for as many as 96 students per class,and the provision of multiple shared tools amongst six different classes. The remote designationchallenged
and Mentoring (iAM) Program to Promote Access to STEM ProfessionsBackgroundThe Integrated Achievement and Mentoring (iAM) Program at Hofstra University (HU) respondsto the challenge of retaining a diverse STEM student population [1]. This achievement-focusedprogram provides students early access to the hidden curriculum and contextualizes supportservices in a model that is inclusive, promotes belonging, and develops student identity locally inthe STEM community and globally as part of the University community. This is an NSFScholarships in STEM (S-STEM) Track 3 (multi-institution)-funded Program built on thetheoretical framework of legitimate peripheral participation with an emphasis on inclusivity,community, and belonging
more educators aboutour curriculum in an attempt to achieve wider adoption of CS Frontiers.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grants1949472, 1949492, and 1949488. Any opinions, findings, conclusions, or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] B. Broll, Á. Lédeczi, G. Stein, D. Jean, C. Brady, S. Grover, V. Cateté and T. Barnes, "Removing the Walls Around Visual Educational Programming Environments," in Proceeding of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), St. Louis, Missouri, 2021.[2] L. Alvarez, I. Gransbury
students inthe college of engineering and college of arts and sciences. Student responses to open-endedquestions were scored manually by two trained raters in accordance with Grohs et al.’s publishedscoring guide [15]. Scores for each response were assigned and rationales recorded. An initialsample of 20% of the responses were scored individually by each rater. These scores were thencompared across raters to develop a consensus for interpreting student-generated text [16] andscoring guidelines normalized across raters. The remaining 80% of responses were split evenlybetween the two raters. This process required 50 human hours of work.Facilitated ScoringUsing the RStudio and the R Shiny package we import a spreadsheet of the raw text
. M. Jones, “Teachers’ perceptions of a maker-centered professional development experience: A multiple case study,” International Journal of Technology and Design Education, vol. 31, no. 4, pp. 697–721, 2021.[10] S. Meyers, K. Rowell, M. Wells, and B. C. Smith, “Teacher empathy: A model of empathy for teaching for student success,” College Teaching, vol. 67, no. 3, pp. 160–168, 2019.[11] C. R. Rogers et al., Freedom to learn: A view of what education might become. Merrill,, 1969.[12] S. Slater and M. Inagawa, “Bridging cultural divides: Role reversal as pedagogy,” Journal of Teaching in International Business, vol. 30, no. 3, pp. 269–308, 2019.[13] G. P. Wiggins, J. McTighe, L. J. Kiernan, and F. Frost, Understanding by
Foundation (NSF) grant 1836504. Anyopinions, findings and conclusions or recommendations expressed in this material do notnecessarily reflect those of NSF.Bibliography[1] B. Momo, G. D. Hoople, D. A. Chen, J. A. Mejia, and S. M. Lord, “Broadening the engineering canon: How Culturally Responsive Pedagogies can help educate the engineers of the future,” Murmurations Emerg. Equity Educ, vol. 2, pp. 6–21, 2020.[2] J. A. Leydens and J. C. Lucena, Engineering Justice: Transforming Engineering Education and Practice. John Wiley & Sons, 2017.[3] G. D. Hoople, D. A. Chen, S. M. Lord, L. A. Gelles, F. Bilow, and J. A. Mejia, “An Integrated Approach to Energy Education in Engineering,” Sustain. Sci. Pract. Policy, vol. 12, no. 21, p. 9145
under Grant No.1759314 (Binghamton University) and Grant No. 1759259 (Indiana University). Any opinions,findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References[1] Dotterer, A. M. (2021). Parent involvement, expectancy values, and STEM outcomes among underrepresented adolescents. Social Psychology of Education, 1-15.[2] James, A. G., Rudy, D., & Dotterer, A. (2019). Longitudinal examination of relations between school-and home-based parent involvement and GPA across ethnic groups. Journal of Child and Family Studies, 28(11), 3000-3010.[3] Simpkins, S. D., Davis-Kean, P. E., & Eccles, J. S. (2005
quantitative scores ofare helpful for identifying leadership while individual comments are beneficial for identifyingpotential conflicts. Based on the feedback from CATME, the instructor could apply a variety ofinterventions to prevent further development of conflicts. The inventions include one-on-onevirtual or in-person meetings, group meetings, redistributing of team tasks, and shifting groupactivity to a more agreeable time slot.References[1] S. Akbar, E. Gehringer, and Z. Hu, “Poster: Improving formation of student teams: A clustering approach,” in IEEE/ACM 40th International Conference on Software Engineering: Companion (ICSE-Companion), 2018: IEEE, pp. 147-148.[2] A. Rezvani, R. Barrett, and P. Khosravi, “Investigating the
development efforts, and served in several administrative roles. She has been recognized for her teaching, advising, service, and research and as an Exemplary Faculty Member for Excellence in Diversity, Equity, and Inclusion. ©American Society for Engineering Education, 2023 Evolution of a Student Transition and Success Program Reflections on a 10 Year JourneyAbstractA lot has happened since 2012 – in society, in education, and in one engineering studentdevelopment program, called The Academy of Engineering Success (AcES)! AcES started in2012 at West Virginia University (WVU), a large, mid-Atlantic, R1 institution, and receivedNSF S-STEM funding beginning in 2016 and corporate
Presentations 2. Somewhat disagree receiving/providing feedback on Feedback Likert Scale 3. Somewhat agree presentations 4. Strongly agree guidance from faculty mentor(s) Faculty guidance from capstone instructor Instructor guidance from industry mentor(s) Industry guidance from capstone TAs TA participating in TA-led mixers Mixers This capstone experience has helped me learn what I had hoped to
workshops(e.g., NETI, ASEE section meetings, the ASEE National meeting, CW workshops), and haverecruited six participants in our Action Research Fellows program. By studying the context inwhich instructors adopt and utilize the CW, we will be able to provide recommendations forencouraging use of the CW and of other pedagogical innovations.AcknowledgmentsWe acknowledge the support from National Science Foundation (NSF) through grants DUE1821439, 1821445, 1821638, 1820888, and 1821603. Any opinions, findings, and conclusions orrecommendations expressed are those of the authors and do not necessarily reflect the views ofthe NSF.References[1] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt, and M. P. Wenderoth, “Active
. She received undergraduate and graduate degrees in mechanical engineering from Duke and NC State, respectively. Her research interests include engineering education and precision manufacturing. American c Society for Engineering Education, 2021 Use of Personas in Rating Scholarship ApplicationsIntroductionThis evidence-based practice paper introduces a method for creating subjective, holistic rubricsbased on the human-centered design concept of personas. It can be difficult to align assessmentmetrics with subjective artifacts, especially when the goal of the artifact itself is subjective. Thefaculty team who collaborated on an NSF S-STEM project faced
important. You are required to use data sets to find correlationsbetween independent and dependent variables and trends including identifying outliers.” Anotheraerospace engineer described how “We use a lot of relationship analysis - sequential, regression,year over year(s) and yes, there are a lot of cross-relationships.” We were surprised by thesestatements that described an ability to analyze data, given that the bulk of the College Algebracourse involves learning how to use and manipulate these formal expressions, learning skills likefactoring, simplifying, solving, and interpreting parameters. We also found that these trends forengineers followed trends we saw in our larger sample where we interviewed professionals fromacross STEM fields.This
and instructor expecta.tions. 2. Representation and interpretation of time functions. 3. Logarithmic relationships. 4. Plots for Characterization of physical phenomena. 5. Resistance: Static and Dynamic. 6. Kirchoff's voltage law, Kirchoff's current law, Ohm 1 s law. 7. Elementary resistive network analysis. 8. Power and energy. 9. Review. 10. Hour Examination. 11. The binary number system. Conversion between bases, 2 s complements. 1 12. Logic networks with gates. Logical functions. 13. Analysis of combinational logic networks via truth tables. 14. From logic diagrams to printed circuit layout. 15
understandably different, no one coursewill be satisfactory and hence a number of course proposalshave been suggested and implemented at many institutions (1,2] • In contrast to other groups of engineers, who may be in-terested only in the application of microprocessors, elec-trical engineers are expected to know all aspects of micro-processors, namely, hardware, software and applications.They should understand the theory as well as the practice ofmicroprocessor engineering. At least one course should beincluded in existing electrical engineering curricula tocover the above topics. This poses a difficult problem forelectrical engineering departments. They must develop asuitable place in electrical engineering curricula where thecourse(s